Improved competitive code for palmprint recognition using simplified Gabor filter

Authors:
Jing Wei;Wei Jia;Hong Wang;Dan-Feng Zhu
Affiliations:
Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China and College of Mathematics and Computer Science, Shanxi Normal University, Linf ...;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China;College of Mathematics and Computer Science, Shanxi Normal University, Linfen, Shanxi, P.R. China;Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China and College of Mathematics and Computer Science, Shanxi Normal University, Linf ...
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

Citing 8
Cited 1

Image Representation Using 2D Gabor Wavelets

IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Palmprint Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal sampling of Gabor features for face recognition

Pattern Recognition Letters
Competitive Coding Scheme for Palmprint Verification

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Ordinal Palmprint Represention for Personal Identification

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Simplified Gabor wavelets for human face recognition

Pattern Recognition
Palmprint verification based on principal lines

Pattern Recognition
Palmprint verification based on robust line orientation code

Pattern Recognition

Stockwell transform based palm-print recognition

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a fast algorithm for extracting features using the Simplified Gabor (SG) for Competitive Coding-based palmprint recognition. The competitive code convolves the palmprint image with a bank of Gabor filters with different orientations. We use a simplified version of Gabor filters and an efficient algorithm for extracting features to modify the competitive code. Experimental results indicate that, using SG can achieve the verification accuracy similar to using common Gabor filters, while the runtime for feature extraction using SG is very fast compare to the original algorithm.